Simulation Experiment of Differential Improvement Based on PID Control Algorithm

Author:

She Shao Hua1

Affiliation:

1. Liu Zhou Teachers College

Abstract

The network information processing is realized by the interaction between the processing units, differential forward PID control is the discrete control that is applied to PID control and traditional PID control, and they will produce an improved control method that is an improvement and optimization on the traditional PID control. Firstly, this paper carries on analysis for the conventional control system structure of industrial production process, while the conventional PID control algorithm has been specially compared. On the basis, the modified differential forward PID control is built, and to validate the stability of the system, using MATLAB special simulation tools carry out control effect of simulation experiment. The experimental results show that the improved system can obtain good control effect by weighted processing, to provide technical support for the research of this field to a certain extent.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference12 articles.

1. Long Xiaolin, Xu JinFang. Study on PID controller based on optimization BP neural network [J]. Computer measurement & control, 2003, 11 (2): 106-108.

2. Shen Yongfu, Wu Shaojun. Intelligent PID control [J]. Industrial instrumentation & automation, 2012(6): 11-13.

3. Liu Jinkun. Advanced PID control MATLAB simulation [M]. Beijing: Publishing House of electronics industry, 2011: 210-220.

4. Niu Jianjun, Wu Wei. Neural network self-tuning PID control strategy and simulation [J]. Journal of system simulation, 2012, 17 (6): 1425-1427.

5. Liu Jinkun. Advanced PID control MATLAB simulation (Second Edition) [M]. Beijing: Publishing House of electronics industry, 2011: 330-340.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3